Multiple instance learning using pathology foundation models effectively predicts kidney disease diagnosis and clinical classification

Yu Kurata; Imari Mimura; Satoshi Kodera; Hiroyuki Abe; Daisuke Yamada; Haruki Kume; Tetsuo Ushiku; Tetsuhiro Tanaka; Norihiko Takeda; Masaomi Nangaku

doi:10.1038/s41598-025-19297-9

Multiple instance learning using pathology foundation models effectively predicts kidney disease diagnosis and clinical classification

Y Yu Kurata I Imari Mimura S Satoshi Kodera H Hiroyuki Abe D Daisuke Yamada H Haruki Kume T Tetsuo Ushiku T Tetsuhiro Tanaka N Norihiko Takeda M Masaomi Nangaku (University of Tokyo Hospital, Tokyo, Japan)

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published October 09, 2025

DOI 10.1038/s41598-025-19297-9

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (10)

Y

Yu Kurata

I

Imari Mimura

S

Satoshi Kodera

H

Hiroyuki Abe

D

Daisuke Yamada

H

Haruki Kume

T

Tetsuo Ushiku

T

Tetsuhiro Tanaka

N

Norihiko Takeda

M

Masaomi Nangaku

University of Tokyo Hospital, Tokyo, Japan

Multiple instance learning using pathology foundation models effectively predicts kidney disease diagnosis and clinical classification

Article Details

Journal Info

Authors (10)

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